• Korean Business Review
• /
• v.17
• /
• pp.137-151
• /
• 2004

Wrap accounts are customized financial services for which investment companies and stock brokers manage investors assets based on their preferences. The success of wrap accounts depend upon the accurate understanding of investment risk propensity and the proper designing of financial portfolio. To this end investment companies should accurately measure investors investment risk propensity with calibrated measures. There, unfortunately, exist few highly calibrated measures of investment risk propensity. Therefore the practices of marketing strategies and customer management often turn out to be less effective and fragile to competition. The purposes of this present study aim to understand the investment risk propensity of wrap accounts customers, to help classify the customers based on the degree of the investment risk propensity, and to implement relevant marketing strategies for different groups of customers. Based on previous studies, two hypotheses were delineated and verified. The findings of the study should help differentiate prospective customers into unique and accessible segments for further targeting and positioning wrap account markets.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.37 no.7C
• /
• pp.619-626
• /
• 2012

With the service suggesting additional extended or related query, search engines aim to provide their users more convenience. The extended or related query suggestion service based on popularity, or by how many people have searched on web using the query, has limitations to elevate users' satisfaction, because each user's preference and interests differ. This paper will demonstrate the design and realization of the system that suggests extended query appropriate for users' demands, and also an improvement in the computing process between entering the first search word and the subsequent extension to the related themes. According to the evaluation the proposed system suggested 41% more extended or related query than when searching on Google, and 48% more than on Yahoo. Also by improving the shortcomings of the extended or related query system based on general popularity rather than each user's preference, the new system enhanced users' convenience further.

• Journal of agricultural medicine and community health
• /
• v.35 no.2
• /
• pp.134-150
• /
• 2010

Objectives: This study was for analyzing the research about international marriage immigrant women and a trial to find the right direction for future research. Methods: Sixty articles published from June, 2004 to June, 2009 were reviewed and analyzed according to the general characteristics, major of author, and theme of health domains. Results: Most of them were master's thesis(71.7%) and journals(21.7%) and doctoral dissertation(6.7%) have been published mostly after thesis. Among 83.3% for quantitative research, descriptive(33.3%) and descriptive correlation(41.7%) methods were the most used and there were some qualitative researches(16.7%). The most frequently used data gathering method was questionnaire(81.7%) and the next was interview(16.7%). The major rates of the author were 61.7% for social welfare and 2.1% for nursing. The investigated variables in social health domain were adaptation(28.3%), and communication(1.7%). In psychological health domain, marriage satisfaction(16.7%), life satisfaction(11.7%), and depression(10.0%) were most researched. Utilization of medical center(5.0%) and health promotion behavior(1.7%) were investigated in physical health domain. Conclusions: Above this, most articles were researched about the adaptation of international marriage immigrant women. But the life in foreign countries can cause physical and psychosocial unhealthy conditions, so many-sided health related researches are supposed to be conducted for adaptation and prevention health problems of international marriage immigrant women.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.7
• /
• pp.115-124
• /
• 2022

The purpose of this study is to analyze and present keywords, trends, and language networks of keywords for each year of the pedagogical exam of the secondary teacher's employment exam for the 2019~2022 school year. The main research methods were text mining technique and language network analysis method, and analysis programs were KrKwic, Wordcloud Maker, Ucinet6, NetDraw, etc. The research results are as follows; First, keywords such as teacher, student, curriculum, class, and evaluation appeared in the top rankings, and keywords (online, wiki, discussion ceremony, information, etc.) that reflect the recent online class progress in the current COVID-19 situation also tended to appear. The keywords with high frequency of occurrence in the four-year integrated text were student(44), teacher(39), class(27), school(18), curriculum(16), online(10), and discussion method(8). Second, the overall language network of the keywords with high frequency of 4 years showed a significant level of density(0.566), total number of links(492), and average degree of links(16.4). The degree centrality was found in the order of teacher(199.0), class(197.0), student(185.0), and school(150.0). Betweenness centrality was found in the order of teacher(30.859), class(18.956), student(16.054), and school (15.745). It is expected that the results of this study will serve as data to be considered for preparatory teachers, institutions and related persons, and teachers and administrators of secondary school teacher training institutions.

• Science of Emotion and Sensibility
• /
• v.25 no.4
• /
• pp.129-138
• /
• 2022

In the context of the increasing applications of voice assistants in vehicles, we focused on the association between the visual appeal of the cars and the acoustic characteristics of the voice assistants. This study aimed to investigate the relationship between the visual appeal of the vehicle and the voice assistant based on their emotional characteristics. A total of 15 adjectives were used to assess the emotional characteristics of 12 types of cars and six types of voices. An online interview was carried out, instructing participants to match three adjectives with the presented car images or voices. This was followed with a brief interview to allow the participants to reflect on the adjective matches. Based on the assessments, we performed principal component analysis (PCA) to determine factors. We aimed to deploy the cars and voices and analyze the patterns of clustering. The PCA analysis revealed two factors profiled as "Light-Heavy" and "Comfortable-Radical." Both car and voice stimuli were deployed in a two-dimensional space showing the internal relationship within and between the two substances. Based on the coordination data, a hierarchical cluster grouped the 18 stimuli into four groups labeled as challenge, elegance, majesty, and vigor. This study identified two latent factors describing the emotional characteristics of both car images and voice types clustered into four groups based on their emotional characteristics. The coherent matches between car style and voice type are expected to address the design concept more successfully.

• Journal of KIISE
• /
• v.44 no.2
• /
• pp.139-147
• /
• 2017

Most of the information prevailing in the Internet space consists of textual information. So one of the main topics regarding the huge document analyses that are required in the "big data" era is the development of an automated understanding system for textual data; accordingly, the automation of the keyword extraction for text summarization and abstraction is a typical research problem. But the simple listing of a few keywords is insufficient to reveal the complex semantic structures of the general texts. In this paper, a text-visualization method that constructs a graph by computing the related degrees from the selected keywords of the target text is developed; therefore, two construction models that provide the edge relation are proposed for the computing of the relation degree among keywords, as follows: influence-interval model and word- distance model. The finally visualized graph from the keyword-derived edge relation is more flexible and useful for the display of the meaning structure of the target text; furthermore, this abstract graph enables a fast and easy understanding of the target text. The authors' experiment showed that the proposed abstract-graph model is superior to the keyword list for the attainment of a semantic and comparitive understanding of text.

• Journal of the Korean Society for Railway
• /
• v.14 no.6
• /
• pp.575-583
• /
• 2011

In order to minimize the maintenance cost at local lines, Information & Communication Technology based onboard train control system is being developed. Unlike the central traffic control based fixed block system, this system use a moving block method and railway driver direct control switch and railway crossing. The purpose of this paper is to analyze the concerned main operational issues are as follows: the preparation of train operation, drivability, the role of driver and controller, block system and cost. We defined the role of driver and driver's input data for train service, and we designed the business process of driver using UML tool. We considered the aspect of drivability, DMI is needed to support the braking moment for the driver and driver training simulator. We designed the driver business process for control of switch and railway crossing. We analyzed the fixed block system and moving block system to confirm the difference with the existing operational method. The cost analysis structure is also needed for the operation cost comparison.

• Journal of Hospice and Palliative Care
• /
• v.14 no.3
• /
• pp.152-162
• /
• 2011

Purpose: This study was conducted to analyze a trend in studies of hospice care in Korea and to suggest future research directions. Methods: This study analyzed a total of 183 studies related to hospice care which were found at http://www.riss.kr. Results: Of the 183 studies, 62 (33.9%) were for thesis studies for a degree, 121 (66.1%) for academic journals. There were 159 (87.8%) quantitative studies, 18 (8.9%) qualitative studies, and 6 (3.3%) Q-Method studies. The most frequently used study design was a descriptive study. The majority of study participants were terminal cancer patients, patients' family members and health care personnel. The thesis articles were searched by using key words as follows: health, nursing, environment, children's hospice, and others. Conclusion: The number of studies of hospice care has increased, and research key words varied. Furthermore, more experimental research is needed on nursing intervention such as pain relief, alternative therapies and hospice care for children.

• Korean Journal of Ichthyology
• /
• v.26 no.2
• /
• pp.125-132
• /
• 2014

Seasonal variation and abundance of fish larvae in Han River estuary were determined by analysis of seasonal samples collected from three channels in the Han River estuary from May 2007 to August 2008. During the study, a total of 3,642 fish larvae were collected belonging to 13 taxa. Coilia spp. was the most abundant (48.8%). The highest number of taxa (11 taxa) was collected in the Jangbong channel and abundance was high in the Sukmo channel (2,428 ind./$1,000m^3$). Brackish-water species were prevailed in the Yumhwa channel and the Sukmo channel, while coastal species were abundant in the Jangbong channel. Canonical correspondence analysis revealed that the environmental factors such as water temperature and salinity had a strong relationship with the abundance of major larvae species.

• The Journal of the Korea Contents Association
• /
• v.22 no.9
• /
• pp.29-45
• /
• 2022

This study aims to analyze how the public perceive the climate change in South Korea. The climate change has been highlighted due to its social and environmental impact on future society during decades. In recent, the outbreak of COVID-19 alerted the causal relationship between diseases and the climate change and forced decision-makers to cope with possible future epidemics. Along with the social and political importance of the climate change, the perception and actions of the public also become significant. Thus, this study analyzes the trends in the public perception of climate change before and after the COVID-19, using social media big data from March 1, 2019 through February 28, 2022. The results show that the negative perception dominated the public's perception, but a little positive perception implies that numerous policies on the climate change may help the public convert their negative perception to the positive. This study may help the decision-makers develop future policies and strategies on the climate change and carbon neutrality by considering the demand-side perception, such as South Korean perception.